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Yıl 2022, Cilt: 21 , 328 - 334, 31.12.2022
https://doi.org/10.55549/epstem.1226649

Öz

Vehicle Plate Recognition System Using Image Processing

Yıl 2022, Cilt: 21 , 328 - 334, 31.12.2022
https://doi.org/10.55549/epstem.1226649

Öz

In this study, the license plate reading system, which is needed in security applications, automatic
door systems, or parking lot entrance and exit processes, is designed. The main reasons for choosing this system
are that it greatly reduces the workload and contributes to the acceleration of operation in areas with heavy
traffic. This work has been programmed with image processing methods on MATLAB and will take an image
input with an internal or external camera system and give an output to the user. When we look at all the
countries of the world, it is observed that there are different shapes and sizes on the license plates. In this study,
simple but effective morphological operations and Sobel edge detection method were used so that these
differences do not cause the system to make any mistakes. With this approach, the letters and numbers on the
plate were divided by using the bounding box method, and an effective study was carried out. After this study,
the template matching approach is used to identify the characters.

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Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Nihat Pamuk

Yayımlanma Tarihi 31 Aralık 2022
Yayımlandığı Sayı Yıl 2022Cilt: 21

Kaynak Göster

APA Pamuk, N. (2022). Vehicle Plate Recognition System Using Image Processing. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 21, 328-334. https://doi.org/10.55549/epstem.1226649